metadata
license: mit
base_model: xlm-roberta-base
tags:
- generated_from_trainer
datasets:
- xtreme
metrics:
- f1
model-index:
- name: output_dir_train_on_subset
results:
- task:
name: Token Classification
type: token-classification
dataset:
name: xtreme
type: xtreme
config: PAN-X.fr
split: validation
args: PAN-X.fr
metrics:
- name: F1
type: f1
value: 0.5748262548262548
output_dir_train_on_subset
This model is a fine-tuned version of xlm-roberta-base on the xtreme dataset. It achieves the following results on the evaluation set:
- Loss: 0.6724
- F1: 0.5748
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
Training results
Training Loss | Epoch | Step | Validation Loss | F1 |
---|---|---|---|---|
1.3725 | 1.0 | 63 | 1.0052 | 0.1948 |
0.7661 | 2.0 | 126 | 0.6724 | 0.5748 |
Framework versions
- Transformers 4.32.1
- Pytorch 2.1.2+cu121
- Datasets 2.12.0
- Tokenizers 0.13.2